{"id":"W2964574368","doi":"10.29173/cais1031","title":"The Many Faces of Marcia Bate's Contributions: System Design Influence and Citation Impact","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"BATES; Citation; Variety (cybernetics); Perspective (graphical); Computer science; Information retrieval; World Wide Web; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.09581799,0.0005988636,0.001272592,0.02395545,0.009055418,0.03764129,0.001618688,0.003218852,0.005661014],"category_scores_gemma":[0.3603533,0.0007887979,0.0006223346,0.031733,0.01270666,0.01937264,0.009368822,0.004516584,0.002772674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009747908,"about_ca_system_score_gemma":0.009196474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006990483,"about_ca_topic_score_gemma":0.008568188,"domain_scores_codex":[0.8980856,0.04732407,0.007940344,0.006812205,0.03812964,0.001708137],"domain_scores_gemma":[0.5915952,0.2834452,0.01588922,0.02527138,0.07643162,0.007367458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001890133,0.00008381101,0.02582112,0.001255758,0.0002731736,0.0002290816,0.04065078,0.001050603,0.001153202,0.5156696,0.07518581,0.3384379],"study_design_scores_gemma":[0.00007918484,0.0001149292,0.01874197,0.001573272,0.0002700045,0.0005028885,0.01220702,0.003023632,0.003495722,0.3917069,0.5680601,0.0002243894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09120129,0.05123252,0.05975229,0.5085526,0.007135316,0.000168672,0.0005589363,0.001098777,0.2802997],"genre_scores_gemma":[0.8954734,0.02234458,0.03512871,0.01549407,0.007783575,0.000348154,0.0003688464,0.001376967,0.02168174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9760445,"threshold_uncertainty_score":0.50674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070106267930704,"score_gpt":0.2641368165672971,"score_spread":0.24343575388799,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}